A laser radar wind speed correction method, device and equipment

Abstract

The application discloses a laser radar wind speed correction method, device and equipment, receives the observation point position, the radar data of the observation point and the flow field parameter sent by a terminal device. And the topographic data corresponding to the observation point position and the flow field data of the observation point are obtained according to the position of the observation point. The radar data of the observation point, the flow field data of the observation point and the topographic data corresponding to the observation point position are input into a wind speed correction model to obtain corrected wind speed data. The corrected wind speed data is sent to the terminal device so that the terminal device displays the corrected wind speed data. In this way, the topographic features where the laser radar is located are considered, and the wind speed measured by the laser radar is corrected through the wind speed correction model based on the radar data and the calculated flow field data, so that the accuracy of the wind speed measured by the laser radar can be improved. Meanwhile, the server and the terminal device interact, so that the user can obtain the corrected wind speed data through the terminal device, and the operation efficiency is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of artificial intelligence, in particular to a laser radar wind speed correction method, device and equipment. BACKGROUND

[0002] Laser radars, such as ground-based laser radars, are used to measure wind field information and have been widely applied in the wind energy industry. Compared with traditional measurement by wind towers, laser radars are easy to install and have low measurement cost, and have good use effects on land and sea.

[0003] The accuracy of laser radars is high when measuring on flat terrain, but due to the assumption limitation of laser radar measurement, the laser radar wind speed measurement will produce certain errors in the case of complex terrain and non-uniform flow field. Therefore, how to correct the laser radar measured wind speed and improve the accuracy of laser radar measurement is a technical problem to be solved. SUMMARY

[0004] Therefore, the embodiments of the present application provide a laser radar wind speed correction method, device and equipment to improve the accuracy of laser radar measured wind speed.

[0005] To solve the above problems, the technical scheme provided by the embodiments of the present application is as follows:

[0006] In a first aspect, the embodiments of the present application provide a laser radar wind speed correction method applied to a server, and the method comprises:

[0007] receiving an observation point position, radar data of the observation point and flow field parameters sent by a terminal device, wherein the radar data comprises wind speed data of the observation point collected by a laser radar and a wind measurement height corresponding to the observation point;

[0008] obtaining terrain data corresponding to the observation point position and flow field data of the observation point according to the position of the observation point;

[0009] inputting the radar data of the observation point, the flow field data of the observation point and the terrain data corresponding to the observation point position into a wind speed correction model to obtain corrected wind speed data, wherein the wind speed correction model is used to represent the corresponding relationship between a target data set and standard wind speed data of the observation point collected by a wind tower, and the target data set comprises the radar data of the observation point, the flow field data of the observation point and the terrain data corresponding to the observation point;

[0010] sending the corrected wind speed data to the terminal device so that the terminal device displays the corrected wind speed data.

[0011] In a second aspect, the embodiments of the present application also provide a laser radar wind speed correction method applied to a terminal device, and the method comprises:

[0012] display a data input interface of a target application, the data input interface comprising an input control, the input control comprising a first input control for inputting a position of an observation point, a second input control for inputting radar data of the observation point, and a third input control for inputting a flow field parameter;

[0013] in response to receiving operation signals for the first input control, the second input control, and the third input control respectively, obtaining the position of the observation point, the radar data of the observation point, and the flow field parameter, wherein the radar data comprises wind speed data of the observation point collected by a laser radar and a wind measurement height corresponding to the observation point;

[0014] in response to receiving a wind speed correction request, sending the position of the observation point, the radar data of the observation point, and the flow field parameter to a server, the server being configured to obtain terrain data corresponding to the position of the observation point according to the position of the observation point, perform flow field calculation according to the position of the observation point to obtain flow field data of the observation point, and input the radar data of the observation point, the flow field data of the observation point, and the terrain data corresponding to the position of the observation point into a wind speed correction model to obtain corrected wind speed data, and send the corrected wind speed data to the terminal device;

[0015] receiving the corrected wind speed data sent by the server;

[0016] displaying a result display interface, the result display interface being used for the corrected wind speed data.

[0017] In a third aspect, an embodiment of the present application further provides a laser radar wind speed correction device, applied to a server, and the device comprises:

[0018] a first receiving unit, configured to receive a position of an observation point, radar data of the observation point, and a flow field parameter sent by a terminal device, the radar data comprising wind speed data of the observation point collected by a laser radar and a wind measurement height corresponding to the observation point;

[0019] a first obtaining unit, configured to obtain terrain data corresponding to the position of the observation point and flow field data of the observation point according to the position of the observation point;

[0020] a second obtaining unit, configured to input the radar data of the observation point, the flow field data of the observation point, and the terrain data corresponding to the position of the observation point into a wind speed correction model to obtain corrected wind speed data, the wind speed correction model being configured to represent a corresponding relationship between a target data set and standard wind speed data of the observation point collected by a wind measurement tower, the target data set comprising the radar data of the observation point, the flow field data of the observation point, and the terrain data corresponding to the observation point;

[0021] a sending unit, configured to send the corrected wind speed data to the terminal device, so that the terminal device displays the corrected wind speed data.

[0022] In a fourth aspect, the embodiments of the present application further provide a device for correcting wind speed of a laser radar, applied to a terminal device, and the device comprises:

[0023] a first display unit, configured to display a data input interface of a target application, wherein the data input interface comprises input controls, and the data input controls comprise a first input control for inputting a position of an observation point, a second input control for inputting radar data of the observation point, and a third input control for inputting flow field parameters;

[0024] a obtaining unit, configured to obtain the position of the observation point, the radar data of the observation point, and the flow field parameters in response to receiving operation signals respectively corresponding to the first input control, the second input control, and the third input control, wherein the radar data comprises wind speed data of the observation point collected by the laser radar and a wind measurement height corresponding to the observation point;

[0025] a sending unit, configured to send the position of the observation point, the radar data of the observation point, and the flow field parameters to a server in response to receiving a wind speed correction request, wherein the server is configured to obtain terrain data corresponding to the position of the observation point according to the position of the observation point, perform flow field calculation according to the position of the observation point to obtain flow field data of the observation point, input the radar data of the observation point, the flow field data of the observation point, and the terrain data corresponding to the position of the observation point into a wind speed correction model to obtain corrected wind speed data, and send the corrected wind speed data to the terminal device;

[0026] a receiving unit, configured to receive the corrected wind speed data sent by the server;

[0027] a second display unit, configured to display a result display interface, wherein the result display interface is configured to display the corrected wind speed data.

[0028] In a fifth aspect, the embodiments of the present application further provide an electronic device, which comprises:

[0029] at least one processor;

[0030] at least one memory storing a computer program, when the computer program is executed by the at least one processor, the computer program implements the laser radar wind speed correction method according to any one of the above aspects, or the laser radar wind speed correction method according to any one of the above aspects.

[0031] In a sixth aspect, the embodiments of the present application also provide a computer readable storage medium storing a computer program, and the computer program, when executed by a processor, implements the lidar wind speed correction method according to any one of the preceding aspects, or the lidar wind speed correction method according to any one of the preceding aspects.

[0032] In a seventh aspect, the embodiments of the present application also provide a computer program product, which includes a computer program stored in a readable storage medium, and at least one processor of a device reads and executes the computer program from the storage medium, so that the device executes the lidar wind speed correction method according to any one of the preceding aspects, or the lidar wind speed correction method according to any one of the preceding aspects.

[0033] Therefore, the embodiments of the present application have the following beneficial effects:

[0034] The embodiments of the present application provide a lidar wind speed correction method, which is applied to a server. The method first receives a terminal device to send an observation point position, radar data of the observation point, and flow field parameters. The radar data includes wind speed data of the observation point collected by a laser radar and a wind measurement height corresponding to the observation point. Then, the method acquires terrain data corresponding to the observation point position and flow field data of the observation point according to the position of the observation point. The method inputs the radar data of the observation point, the flow field data of the observation point, and the terrain data corresponding to the observation point position into a wind speed correction model to obtain corrected wind speed data. The wind speed correction model is used to represent a corresponding relationship between a target data set and standard wind speed data of the observation point collected by a wind measurement tower. The target data set includes the radar data of the observation point, the flow field data of the observation point, and the terrain data corresponding to the observation point. Finally, the method sends the corrected wind speed data to the terminal device to display the corrected wind speed data. In this way, the method considers the terrain features where the laser radar is located, and corrects the wind speed measured by the laser radar based on the radar data and the calculated flow field data through the trained wind speed correction model, which can improve the accuracy of the wind speed measured by the laser radar. Meanwhile, the server and the terminal device interact with each other, so that the user can obtain the corrected wind speed data through the terminal device, and the process of obtaining the corrected wind speed data is simple and the operation efficiency is improved. BRIEF DESCRIPTION OF DRAWINGS

[0035] Figure 1 A lidar wind speed measurement and wind measurement tower wind speed measurement comparison scatter plot is provided for the embodiments of the present application;

[0036] Figure 2 A schematic diagram of an exemplary application scenario is provided for the embodiments of the present application;

[0037] Figure 3 A flowchart of a lidar wind speed correction method is provided for the embodiments of the present application;

[0038] Figure 4 A schematic diagram of a laser radar measuring wind speed provided by an embodiment of the present application;

[0039] Figure 5 A flowchart of another laser radar wind speed correction method provided by an embodiment of the present application;

[0040] Figure 6 A data input interface schematic diagram provided by an embodiment of the present application;

[0041] Figure 7 A waiting interface schematic diagram provided by an embodiment of the present application;

[0042] Figure 8 Another waiting interface schematic diagram provided by an embodiment of the present application;

[0043] Figure 9 A display interface schematic diagram of corrected wind speed data provided by an embodiment of the present application;

[0044] Figure 10 A structure schematic diagram of a laser radar wind speed correction device provided by an embodiment of the present application;

[0045] Figure 11 Another structure schematic diagram of a laser radar wind speed correction device provided by an embodiment of the present application;

[0046] Figure 12 A schematic diagram of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0047] In order to make the above objectives, features and advantages of the present application more apparent and understandable, the embodiments of the present application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0048] In order to facilitate understanding and explaining the technical solutions provided by the embodiments of the present application, the background art of the embodiments of the present application will be described first.

[0049] Laser radars, such as ground-based laser radars, are widely used in the wind energy industry for measuring wind field information. Compared with traditional measurement by wind tower, laser radars are easy to install and have low measurement cost, and have good use effect on land and sea. In addition, laser radars can not only be used to obtain wind resource data, but also can provide model input and verification for numerical simulation of wind field.

[0050] Because lidar, especially ground-based lidar, measures wind speed based on the assumption of a uniform flow field. That is, ground-based lidar emits a radar beam upwards, assuming that the flow field at each laser beam at the same height is uniform, and the wind field conditions are consistent at all points. Therefore, ground-based lidar has high accuracy in measuring wind speed on flat terrain. However, due to the limitations of lidar measurement assumptions, when lidar is set up in complex terrain, the flow field is non-uniform, and the uniform flow field assumption does not hold. This will cause a certain deviation between the wind speed measured by lidar and the wind speed measured by the anemometer. Therefore, the embodiments of this application can correct the wind speed measured by lidar, especially ground-based lidar, when set up in complex terrain.

[0051] See Figure 1 , Figure 1 This is a scatter plot comparing wind speed measured by lidar and wind speed measured by a wind tower, provided as an embodiment of this application. Figure 1 The horizontal axis represents the horizontal wind speed measured by the wind tower, and the vertical axis represents the horizontal wind speed measured by the lidar. The relationship is y = 0.957x + 0.054, where y is the horizontal wind speed measured by the lidar and x is the horizontal wind speed measured by the wind tower. 2 For the degree of discreteness, R 2 A larger value indicates a better linearity of the curve and a better clustering of scatter points. Figure 1 In the diagram, the horizontal wind speed measured by the wind tower and the corresponding horizontal wind speed measured by the lidar are: Figure 1 The scatter plots corresponding to the original data. The difference between the horizontal wind speed measured by the wind tower and the horizontal wind speed measured by the lidar is... Figure 1 The scatter plots correspond to the original data with medium deviation. It is evident that there is a certain error between the horizontal wind speed measured by the wind tower and the horizontal wind speed measured by the lidar. Therefore, corrections are needed for the radar wind speed to improve the accuracy of lidar measurements in complex terrain.

[0052] Therefore, how to correct for lidar wind speed measurements and improve the accuracy of lidar measurements is an urgent technical problem to be solved.

[0053] Based on this, embodiments of this application provide a lidar wind speed correction method, apparatus, and device. To facilitate understanding of the lidar wind speed correction method provided in this application, the following is a detailed explanation. Figure 2 Exemplary application scenarios are described. Figure 2 This is a schematic diagram illustrating an exemplary application scenario provided in an embodiment of this application. The method can be implemented by server 101.

[0054] In actual application, the server 101 receives the observation point position, the radar data of the observation point and the flow field parameter sent by the terminal device 102. The radar data includes the wind speed data of the observation point collected by the laser radar and the wind measurement height corresponding to the observation point.

[0055] Further, the server 101 obtains the terrain data corresponding to the observation point position and the flow field data of the observation point according to the position of the observation point.

[0056] After obtaining the radar data of the observation point, the flow field data of the observation point and the terrain data corresponding to the observation point position, the server 101 inputs the radar data of the observation point, the flow field data of the observation point and the terrain data corresponding to the observation point position into the wind speed correction model to obtain the corrected wind speed data. The wind speed correction model is used to represent the corresponding relationship between the target data set and the standard wind speed data of the observation point collected by the wind measurement tower. The target data set includes the radar data of the observation point, the flow field data of the observation point and the terrain data corresponding to the observation point.

[0057] After obtaining the corrected wind speed data, the server 101 sends the corrected wind speed data to the terminal device 102, so that the terminal device 102 displays the corrected wind speed data.

[0058] Those skilled in the art can understand that, Figure 2 The framework diagram shown is only one example in which the embodiments of the present application can be implemented. The scope of application of the embodiments of the present application is not limited by any aspect of the framework.

[0059] Based on the above description, the laser radar wind speed correction method provided by the present application will be described in detail below in combination with the drawings.

[0060] Referring to Figure 3 , the figure is a flow chart of a laser radar wind speed correction method provided by an embodiment of the present application. As Figure 3 shown, the method can include S301-S304:

[0061] S301: receiving the observation point position, the radar data of the observation point and the flow field parameter sent by the terminal device, the radar data including the wind speed data of the observation point collected by the laser radar and the wind measurement height corresponding to the observation point.

[0062] In actual applications, after the laser radar collects the wind speed, the wind speed collected by the laser radar needs to be corrected to obtain more accurate wind speed. As an optional example, when the wind speed data needs to be corrected, the target application in the terminal device can be triggered by the user, and the terminal device sends the observation point position, the radar data of the observation point, and the flow field parameters to the server. The server corrects the wind speed collected by the laser radar based on the received observation point position, radar data of the observation point, and flow field parameters. In the embodiments of the present application, the radar data includes the wind speed data of the observation point collected by the laser radar and the wind measurement height corresponding to the observation point. In one possible implementation, the radar data further includes meteorological information, and the meteorological information includes one or more of temperature, humidity, and air pressure. The meteorological information can be collected by the sensor carried by the laser radar.

[0063] In specific implementation, the wind speed data of the observation point is collected by the laser radar. The laser radar is a radar system that detects the position, speed, and other characteristic quantities of a target by emitting a laser beam. The working principle of the laser radar is to emit a detection signal (i.e., a laser beam) to a target, and then compare and process the received signal (i.e., the target echo) reflected from the target with the emitted detection signal, so as to obtain information about the target. There are various types of laser radars, for example, a ground-based laser radar, which is a laser radar arranged on the ground and emitting a radar beam upward.

[0064] The laser radar is arranged on the ground to collect wind speed data at different positions, for example, the laser radar is arranged on a flat terrain or a complex terrain. In the embodiments of the present application, the laser radar is arranged on the ground of a complex terrain.

[0065] The wind speed data of the observation point is collected by the laser radar. In one possible implementation, the embodiments of the present application provide a specific implementation of collecting the wind speed data of the observation point by the laser radar, which includes:

[0066] The horizontal wind speed of the observation point and the radial wind speed of the reference point on the path of the light beam emitted by the laser radar are collected by the laser radar as the wind speed data of the observation point.

[0067] For example, referring to Figure 4 , Figure 4 A schematic diagram of measuring wind speed by the laser radar is provided for the embodiments of the present application. The laser radar is placed on a complex terrain for observation. Take the 2-beam laser radar in Figure 4 as an example (the light beam 1 and the light beam 2 in Figure 1 ), the reference points A and B, and the observation point C, the reference points A and B are respectively located on the path of the light beam 1 and the path of the light beam 2 emitted by the laser radar. In one or more embodiments, the observation point and the reference point have the same height.

[0068] The laser radar obtains the radial wind speeds of the two points A and B by emitting laser beams. The radial wind speed is the wind speed projection of the real wind speed in the direction of the laser beam. The radial wind speeds of the two points A and B are collected by the laser radar. Based on this, according to the uniform assumption principle of the laser radar wind speed synthesis, the horizontal wind speed of the observation point C can be synthesized from the radial wind speeds of the two points A and B. The synthesized horizontal wind speed of the observation point C is the horizontal wind speed of the observation point C collected by the laser radar. It can be understood that the radial wind speed of the reference point A, the radial wind speed of the reference point B and the horizontal wind speed of the observation point C are all collected by the laser radar. That is, the horizontal wind speed of the observation point collected by the laser radar and the radial wind speed of the reference point are taken as the wind speed data of the observation point.

[0069] In one or more embodiments, the laser radar beam can also be 4 beams or 8 beams, etc.

[0070] In addition, it is also necessary to obtain the corresponding wind measurement height of the observation point. For example, the corresponding wind measurement height of the observation point is Figure 4 the vertical height of the observation point C.

[0071] In the embodiments of the present application, the flow field parameters include one or more of the sector number, atmospheric stability and resolution. Among them, in order to represent the direction of the wind, the wind direction of 0-360° is discretized by azimuth, and different wind direction values are divided into corresponding sectors, for example, 16 sectors are set, and every 22.5 degrees is a sector, and 16 is the sector number. Atmospheric stability refers to the intensity of the vertical movement of the atmospheric layer, that is, when the temperature difference of the atmosphere at different heights is small, the convection movement of the atmosphere is weak, and the atmosphere is in a stable state; on the contrary, when the temperature difference is large and the convection movement is more intense, the atmosphere is in an unstable state. The grid resolution refers to the size and density of the grid unit division.

[0072] In a possible implementation, the embodiments of the present application provide a specific implementation of a receiving terminal device sending an observation point position, radar data and flow field parameters, including:

[0073] The radar longitude coordinate and latitude coordinate sent by the receiving terminal device are received as the observation point position, and the radar data and flow field parameters sent by the receiving terminal device are received.

[0074] It can be understood that the observation point position is represented by the radar longitude coordinate and latitude coordinate.

[0075] S302: Obtain the terrain data corresponding to the observation point position and the flow field data of the observation point according to the position of the observation point.

[0076] After the position of the observation point is obtained, the flow data of the observation point can be obtained according to the position of the observation point. In one or more embodiments, obtaining the flow data of the observation point according to the position of the observation point includes: performing flow field calculation on the observation point position and the flow field parameter to obtain the flow field data of the observation point.

[0077] Computational Fluid Dynamics (CFD) is used to solve the control equations of fluid mechanics by computer and numerical method, and simulate and analyze the fluid mechanics problem. The flow field data is obtained by simulation, for example, simulation wind speed data. In one or more embodiments, the flow field data of the observation point can be obtained by performing flow field calculation on the observation point position and the flow field parameter, combined with CFD.

[0078] In a possible implementation, the embodiment of the present application provides a specific implementation of obtaining the flow field data of the observation point by performing flow field calculation on the observation point position and the flow field parameter, including:

[0079] The flow field data of the observation point is obtained by performing flow field calculation on the position of the observation point, the position of the reference point and the flow field parameter, for example, by performing flow field calculation on the height of the observation point, the height of the reference point and the flow field parameter, to obtain the fluid simulation horizontal wind speed of the observation point and the fluid simulation horizontal wind speed of the reference point as the flow field data of the observation point.

[0080] For example, the fluid simulation horizontal wind speed of the reference point A, the reference point B and the observation point C can be calculated by the integrated CFD software Figure 4

[0081] In addition, in the embodiment of the present application, the laser radar is arranged in the complex terrain. The terrain data corresponding to the complex terrain affects the accuracy of the wind speed measured by the laser radar. Therefore, the influence of the terrain data corresponding to the observation point on the wind speed data of the observation point needs to be considered. The terrain data includes the slope of the ground, the complexity of the terrain and other data. The terrain data corresponding to the observation point can be set in advance according to the actual situation. In specific implementation, after the position of the observation point is obtained, the terrain data corresponding to the observation point can be obtained based on the position of the observation point. For example, the terrain data within a certain radius range with the position of the observation point as the center is taken as the terrain data corresponding to the position of the observation point.

[0082] S303: inputting the radar data of the observation point, the flow field data of the observation point and the terrain data corresponding to the position of the observation point into the wind speed correction model to obtain the corrected wind speed data, the wind speed correction model being used to represent the corresponding relationship between the target data set and the standard wind speed data of the observation point collected by the wind measuring tower, the target data set including the radar data of the observation point, the flow field data of the observation point and the terrain data corresponding to the observation point. ​

[0083] After obtaining the radar data of the observation point, the flow field data of the observation point, and the terrain data corresponding to the position of the observation point, the radar data of the observation point, the flow field data of the observation point, and the terrain data corresponding to the position of the observation point are input into the wind speed correction model to obtain corrected wind speed data.

[0084] The wind speed correction model is a pre-trained model, and the wind speed correction model is used to represent the corresponding relationship between a target data set and standard wind speed data of the observation point collected by the wind tower. The target data set includes radar data of the observation point, flow field data of the observation point, and terrain data corresponding to the position of the observation point. The purpose of the wind speed correction model is to correct the wind speed data set collected by the laser radar to the standard wind speed data of the observation point collected by the wind tower. The corrected wind speed data can be understood as being as close as possible to the standard wind speed data of the observation point collected by the wind tower, that is, relatively standard wind speed data is obtained. In one or more embodiments, the process of correcting the wind speed data can be real-time correction or offline correction.

[0085] In a possible implementation, the embodiment of the present application provides a specific implementation of inputting radar data of an observation point, flow field data of the observation point, and terrain data corresponding to the position of the observation point into a wind speed correction model to obtain corrected wind speed data, please see A1-A3 below.

[0086] In a possible implementation, the wind speed correction model in the embodiment of the present application can be a plurality of model structures. Based on this, the embodiment of the present application further provides another laser radar wind speed correction method, in addition to S301-304, the laser radar wind speed correction method further includes:

[0087] Receiving a model structure type sent by a terminal device.

[0088] The model structure type of the wind speed correction model includes a convolutional neural network prediction model, an XGB prediction model, a random forest prediction model, a recurrent neural network RNN model, and the like. As an optional example, the terminal device determines the model structure type in response to the selection of the model structure type by a user, and then sends the determined model structure type to the server by the terminal device.

[0089] Based on the above, the embodiment of the present application further provides a specific implementation of inputting radar data of an observation point, flow field data of the observation point, and terrain data corresponding to the position of the observation point into a wind speed correction model to obtain corrected wind speed data, including:

[0090] Inputting the radar data of the observation point, the flow field data of the observation point, and the terrain data corresponding to the position of the observation point into a wind speed correction model corresponding to the model structure type to obtain corrected wind speed data.

[0091] That is, the server receives the model structure type sent by the terminal device, determines the wind speed correction model as the wind speed correction model corresponding to the model structure type. Further, the radar data of the observation point, the flow field data of the observation point, and the terrain data corresponding to the observation point position are input into the wind speed correction model corresponding to the model structure type to obtain the corrected wind speed data.

[0092] S304: The terminal device is sent the corrected wind speed data so as to display the corrected wind speed data on the terminal device.

[0093] After the server obtains the corrected wind speed data, the server sends the corrected wind speed data to the terminal device, so that the corrected wind speed data can be displayed on the terminal device. In this way, the user can also view the corrected wind speed data through the terminal device.

[0094] In one or more embodiments, the corrected wind speed data can be used in application scenarios such as wind turbine power curve testing, wind resource assessment, and / or wind power project assessment.

[0095] The wind resource assessment refers to the preliminary wind resource assessment when the wind field is located. In a specific implementation, the corrected wind speed data can be input into a corresponding algorithm model in a computer to obtain a wind resource assessment result. The wind power project assessment can be used to assess the wind power indicators in the wind power project. Similarly, in a specific implementation, the corrected wind speed data can be input into a corresponding algorithm model in a computer to obtain a wind power project assessment result.

[0096] It can be understood that the embodiments of the present application consider the influence of the terrain data corresponding to the observation point on the correction when correcting the wind speed collected by the laser radar. In actual application, other data such as altitude data can also be considered.

[0097] Based on the content of S301-S304, the embodiment of the application provides a laser radar wind speed correction method, which is applied to a server, and first receives observation point position, radar data of the observation point and flow field parameters sent by a terminal device. The radar data comprises wind speed data of the observation point collected by the laser radar and a wind measuring height corresponding to the observation point. The flow field data of the observation point is obtained according to the position of the observation point. The radar data of the observation point, the flow field data of the observation point and the topographic data corresponding to the position of the observation point are input into a wind speed correction model to obtain corrected wind speed data. The wind speed correction model is used to represent the corresponding relationship between a target data set and standard wind speed data of the observation point collected by a wind measuring tower. The target data set comprises the radar data of the observation point, the flow field data of the observation point and the topographic data corresponding to the observation point. Finally, the corrected wind speed data is sent to the terminal device, so that the terminal device displays the corrected wind speed data. In this way, the topographic features where the laser radar is located are considered, and the wind speed measured by the laser radar is corrected through the trained wind speed correction model based on the radar data and the calculated flow field data, so that the accuracy of the wind speed measured by the laser radar can be improved. Meanwhile, the server and the terminal device interact, so that the user can obtain the corrected wind speed data through the terminal device, and the process of obtaining the corrected wind speed data is simple and the operation efficiency is improved.

[0098] In a possible implementation, the embodiment of the application provides a specific implementation of S303, wherein the radar data of the observation point, the flow field data of the observation point and the topographic data corresponding to the position of the observation point are input into the wind speed correction model to obtain the corrected wind speed data, and the specific implementation comprises the following steps.

[0099] A1: inputting the topographic data corresponding to the observation point into a feature extraction model to obtain a topographic vector.

[0100] Since the obtained topographic data may be different from the data dimensions of the remaining input wind speed correction model data, the topographic data corresponding to the observation point is input into the feature extraction model to obtain the topographic vector. The obtained topographic vector can match the remaining input data of at least one trained machine learning model, such as the wind speed data of the observation point and the flow field data of the observation point.

[0101] In one or more embodiments, the feature extraction model is a neural network model.

[0102] A2: performing feature splicing on the radar data of the observation point, the flow field data of the observation point and the topographic vector to obtain an input feature vector.

[0103] Further, the radar data of the observation point, the flow field data of the observation point and the topographic vector are spliced to obtain an input feature vector which can be input into the wind speed correction model.

[0104] A3: obtaining the corrected wind speed data according to the input feature vector through the wind speed correction model.

[0105] The input feature vector is input into the wind speed correction model, and the corrected wind speed data can be obtained. It can be understood that the corrected wind speed data can be used as the standard wind speed data of the observation point.

[0106] Based on A1-A3, the embodiment of the present application provides another specific implementation of inputting the radar data of the observation point, the flow field data of the observation point, and the terrain data corresponding to the observation point position into the wind speed correction model to obtain the corrected wind speed data in S303, including:

[0107] B1: inputting the terrain data corresponding to the observation point into a feature extraction model to obtain a terrain vector.

[0108] Since the obtained terrain data may be different in data dimension from the rest of the input data of the wind speed correction model, the terrain data needs to be input into the feature extraction model to obtain the terrain vector. The obtained terrain vector can match the rest of the input data of the wind speed correction model, such as the wind speed data of the observation point and the flow field data of the observation point.

[0109] For example, the terrain data includes parameters such as the slope of the ground and the complexity of the ground.

[0110] B2: performing feature splicing on the horizontal wind speed of the observation point, the radial wind speed of the reference point, the fluid simulation horizontal wind speed of the observation point, the fluid simulation horizontal wind speed of the reference point, the terrain vector, and the wind measurement height to obtain an input feature vector.

[0111] On the basis that the wind speed data of the observation point includes the horizontal wind speed of the observation point and the radial wind speed of the reference point, and the flow field data of the observation point includes the fluid simulation horizontal wind speed of the observation point and the fluid simulation horizontal wind speed of the reference point, the horizontal wind speed of the observation point, the radial wind speed of the reference point, the fluid simulation horizontal wind speed of the observation point, the fluid simulation horizontal wind speed of the reference point, the terrain vector, and the wind measurement height are spliced to obtain the input feature vector which can be input into the wind speed correction model.

[0112] In a possible implementation, the radar data further includes meteorological information, and B2 can specifically be performing feature splicing on the horizontal wind speed of the observation point, the radial wind speed of the reference point, the fluid simulation horizontal wind speed of the observation point, the fluid simulation horizontal wind speed of the reference point, the terrain vector, the wind measurement height, and the meteorological data to obtain the input feature vector.

[0113] B3: obtaining the corrected wind speed data according to the input feature vector through the wind speed correction model.

[0114] By inputting the feature vector into the wind speed correction model, the corrected wind speed data can be obtained. It can be understood that the corrected wind speed data is the standard wind speed data for the observation point.

[0115] Based on the content of B1-B3, it can be seen that by using the terrain data of the terrain where the lidar is located, the wind measurement height corresponding to the observation point, the wind speed data collected by the lidar, and the corresponding flow field data calculated, the wind speed measured by the lidar can be corrected through the wind speed correction model, thereby improving the accuracy of the lidar wind speed measurement.

[0116] In one possible implementation, this application embodiment also provides a wind speed correction model training method, which includes C1-C5:

[0117] C1: Collect wind speed data at the observation points to be trained using lidar.

[0118] To train a wind speed correction model, a large amount of training data is needed. For example, wind speed data from observation points to be trained, collected using lidar in complex terrain.

[0119] In one possible implementation, this application provides a specific method for acquiring wind speed data of observation points to be trained using lidar, including:

[0120] The horizontal wind speed at the observation point to be trained and the radial wind speed at the reference point to be trained are collected by lidar as wind speed data for the observation point to be trained. The reference point to be trained is located on the beam path emitted by the lidar.

[0121] C2: Obtain standard wind speed data for the training observation points measured by the wind measurement tower.

[0122] To train the wind speed correction model, the desired standard wind speed data is required. The standard wind speed data for the observation points to be trained can be obtained by measuring the observation points using a wind tower.

[0123] For example, such as Figure 4 As shown, when the observation point to be trained is point C, the standard wind speed data of the observation point to be trained measured by the wind tower is the standard wind speed data of point C.

[0124] C3: Calculate the flow field based on the location of the observation point to be trained, and obtain the flow field data of the observation point to be trained.

[0125] The flow field data at the location of the observation point to be trained is simulation data. For example, the flow field data of the observation point to be trained can be obtained by performing flow field calculations at the location of the observation point.

[0126] In a possible implementation, the embodiment of the present application provides a specific implementation of calculating a flow field according to the position of a to-be-trained observation point to obtain flow field data of the to-be-trained observation point, including:

[0127] calculating a flow field according to the position of the to-be-trained observation point and the position of the to-be-trained reference point to obtain fluid simulation horizontal wind speed of the to-be-trained observation point and fluid simulation horizontal wind speed of the to-be-trained reference point as the flow field data of the to-be-trained observation point.

[0128] C4: obtaining terrain data corresponding to the to-be-trained observation point and a wind measurement height corresponding to the to-be-trained observation point.

[0129] Since the terrain data and the like affect the accuracy of the wind speed data measured by the laser radar, it is necessary to collect terrain data and the like to train the wind speed correction model. At the same time, the wind measurement height corresponding to the to-be-trained observation point is obtained.

[0130] C5: taking the wind speed data of the to-be-trained observation point, the flow field data of the to-be-trained observation point, the terrain data corresponding to the to-be-trained observation point, and the wind measurement height corresponding to the to-be-trained observation point as training data, taking the standard wind speed data of the to-be-trained observation point as a label of the training data, and training to obtain the wind speed correction model.

[0131] C5: taking the wind speed data of the to-be-trained observation point, the flow field data of the to-be-trained observation point, the terrain data corresponding to the to-be-trained observation point, and the wind measurement height corresponding to the to-be-trained observation point as training data, taking the standard wind speed data of the to-be-trained observation point as a label of the training data, and training to obtain the wind speed correction model.

[0132] In a possible implementation, the meteorological information of the to-be-trained observation point can also be obtained, and C5 can be specifically taking the wind speed data of the to-be-trained observation point, the flow field data of the to-be-trained observation point, the terrain data corresponding to the to-be-trained observation point, the wind measurement height corresponding to the to-be-trained observation point, and the meteorological information of the to-be-trained observation point as training data, taking the standard wind speed data of the to-be-trained observation point as a label of the training data, and training to obtain the wind speed correction model.

[0133] Based on the trained wind speed correction model, the corrected wind speed data output by the wind speed correction model can be obtained according to the input wind speed data of the observation point, the flow field data of the observation point, the terrain data corresponding to the observation point, and the wind measurement height corresponding to the observation point.

[0134] Based on the C1-C5 content, the embodiment of the application provides a wind speed correction model training method. Wind speed data of a to-be-trained observation point is collected by a laser radar, and standard wind speed data of the to-be-trained observation point measured by a wind measurement tower is obtained. Flow field data of the to-be-trained observation point is obtained by performing flow field calculation according to the position of the to-be-trained observation point. In addition, corresponding terrain data of the to-be-trained observation point and a wind measurement height corresponding to the to-be-trained observation point are obtained. The wind speed data of the to-be-trained observation point, the flow field data of the to-be-trained observation point, the corresponding terrain data of the to-be-trained observation point and the wind measurement height corresponding to the to-be-trained observation point are taken as training data, and the standard wind speed data of the to-be-trained observation point is taken as a label of the training data, so that a wind speed correction model is trained. In this way, considering the terrain features of the laser radar, the wind speed correction model is trained based on the wind speed data collected by the laser radar and the calculated flow field data, and the standard wind speed data measured by the wind measurement tower, so as to correct the wind speed data measured by the laser radar by using the trained wind speed correction model, and improve the accuracy of the wind speed measured by the laser radar.

[0135] In a possible implementation, the embodiment of the application provides a specific implementation of the C5, which takes the wind speed data of the to-be-trained observation point, the flow field data of the to-be-trained observation point, the corresponding terrain data of the to-be-trained observation point and the wind measurement height corresponding to the to-be-trained observation point as training data, takes the standard wind speed data of the to-be-trained observation point as a label of the training data, and trains a wind speed correction model, and the specific implementation includes the following steps.

[0136] The corresponding terrain data of the to-be-trained observation point is input into a feature extraction model to obtain a to-be-trained terrain vector;

[0137] The wind speed data of the to-be-trained observation point, the flow field data of the to-be-trained observation point, the to-be-trained terrain vector and the wind measurement height corresponding to the to-be-trained observation point are feature spliced to obtain a to-be-trained model feature vector;

[0138] The to-be-trained model feature vector is taken as training data, and the standard wind speed data of the to-be-trained observation point is taken as a label of the training data, so that a wind speed correction model is trained.

[0139] In a possible implementation, in the above embodiment, in the process of obtaining the to-be-trained model feature vector, the wind speed data of the to-be-trained observation point, the flow field data of the to-be-trained observation point, the to-be-trained terrain vector, the wind measurement height corresponding to the to-be-trained observation point and the meteorological information of the to-be-trained observation point can also be feature spliced to obtain the to-be-trained model feature vector.

[0140] It should be noted that part of the technical details can refer to A1-A3, which will not be repeated here.

[0141] The embodiment of the present application provides another C5, wind speed data of a to-be-trained observation point, flow field data of the to-be-trained observation point, terrain data corresponding to the to-be-trained observation point and a wind measurement height corresponding to the to-be-trained observation point are taken as training data, standard wind speed data of the to-be-trained observation point is taken as a label of the training data, and a wind speed correction model is trained, including:

[0142] The terrain data corresponding to the to-be-trained observation point is input into the feature extraction model to obtain a to-be-trained terrain vector.

[0143] The horizontal wind speed of the to-be-trained observation point, the radial wind speed of the to-be-trained reference point, the fluid simulation horizontal wind speed of the to-be-trained observation point, the fluid simulation horizontal wind speed of the to-be-trained reference point, the to-be-trained terrain vector and the wind measurement height corresponding to the to-be-trained observation point are spliced to obtain a to-be-trained model feature vector.

[0144] The to-be-trained model feature vector is taken as training data, and the standard wind speed data of the to-be-trained observation point is taken as a label of the training data, and a wind speed correction model is trained.

[0145] In a possible implementation, in the above embodiment, in the process of obtaining the to-be-trained model feature vector, the horizontal wind speed of the to-be-trained observation point, the radial wind speed of the to-be-trained reference point, the fluid simulation horizontal wind speed of the to-be-trained observation point, the fluid simulation horizontal wind speed of the to-be-trained reference point, the to-be-trained terrain vector, the wind measurement height corresponding to the to-be-trained observation point and the meteorological information of the to-be-trained observation point can also be spliced to obtain the to-be-trained model feature vector.

[0146] It should be noted that part of the technical details can refer to B1-B3, which will not be repeated here.

[0147] Based on the laser radar wind speed correction method applied to the server provided in the above method embodiment, the embodiment of the present application also provides a laser radar wind speed correction method applied to a terminal device. The laser radar wind speed correction method applied to the terminal device will be described below with reference to the accompanying drawings.

[0148] Referring to Figure 5 , the figure is a flowchart of another laser radar wind speed correction method provided by the embodiment of the present application. As Figure 5 indicated, the method can include S501-S505:

[0149] S501: display a data input interface of a target application, the data input interface includes an input control, the input control includes a first input control for inputting an observation point position, a second input control for inputting radar data of the observation point, and a third input control for inputting flow field parameters.

[0150] In the embodiments of the present application, the terminal device includes a target application. The target application can be an application for implementing the correction of the wind speed data collected by the laser radar. The target application can include a plurality of interactive interfaces, such as a data input interface. Based on the plurality of interactive interfaces, the terminal device can interact with the user to implement the laser radar wind speed correction in the target application of the terminal device.

[0151] In actual applications, the data input interface includes an input control, and the data input control includes a first input control for inputting the observation point position, a second input control for inputting the radar data of the observation point, and a third input control for inputting the flow field parameter. The user inputs the observation point position in the first input control, inputs the radar data of the observation point in the second input control, and inputs the flow field parameter in the third input control.

[0152] As an optional example, refer to Figure 6 , Figure 6 A data input interface schematic diagram provided by the embodiments of the present application is shown. After the user logs in the target application of the terminal device, the user can enter the data input interface shown in Figure 6 .

[0153] As shown in Figure 6 , the data input interface includes a plurality of functional areas such as the observation point position, the radar data, the flow field parameter, and the model structure type.

[0154] As an optional example, as shown in Figure 6 , the longitude button and the latitude button corresponding to the observation point position functional area are the first input control, which is used to obtain the observation point position. The user can operate the first input control. For example, as an optional example, the longitude button or the latitude button in the observation point position functional area can be triggered (for example, the longitude button or the latitude button is clicked). As a result, an interface for inputting and uploading the radar longitude is provided in the popped-up longitude editing interface (not shown in the figure), or an interface for inputting and uploading the radar latitude is provided in the popped-up latitude editing interface (not shown in the figure). The uploaded radar longitude and the radar latitude constitute the observation point position. In response to the uploaded radar longitude and the radar latitude, the data input interface receives the related information of the observation point position.

[0155] As an optional example, as shown in Figure 6 , the second input control corresponding to the radar data functional area is used to input the radar data of the observation point. The user can operate the second input control. For example, as an optional example, the second input control in the radar data functional area can be triggered (for example, the second input control is clicked). As a result, an interface for inputting and uploading the radar data of the observation point is provided in the popped-up radar data editing interface (not shown in the figure). The uploaded radar data of the observation point constitutes the radar data of the observation point. In response to the uploaded radar data of the observation point, the data input interface receives the related information of the radar data of the observation point.As shown, the plurality of radar data buttons in the radar data function area are second input controls (e.g., the wind speed data button, the wind height button, and the weather information button) for obtaining radar data (e.g., wind speed data of the observation point, wind height corresponding to the observation point, and weather information) of the observation point. The user can operate the second input controls. For example, the wind speed data button in the radar data function area can be triggered to upload the wind speed data of the observation point in the popped-up wind speed data editing interface to obtain the wind speed data of the observation point. The wind height button in the radar data function area can also be triggered to upload the wind height corresponding to the observation point in the popped-up wind height editing interface to obtain the wind height corresponding to the observation point. The weather information button in the radar data function area can also be triggered to upload the weather information in the popped-up weather information editing interface to obtain the weather information. It can be understood that the received radar data is used for radar wind speed correction.

[0156] In a possible implementation, the radar data further includes weather information, and the weather information includes one or more of temperature, humidity, and air pressure.

[0157] As an optional example, as shown in FIG. 6, the flow field parameter function area includes a plurality of parameter buttons (e.g., a sector number button, an atmospheric stability button, a grid resolution button, and other flow field parameter buttons) for obtaining flow field parameters (e.g., a sector number, an atmospheric stability, a grid resolution, and other flow field parameters). Figure 6 As shown, the plurality of parameter buttons in the flow field parameter function area are third input controls (e.g., the sector number button, the atmospheric stability button, the grid resolution button, and other flow field parameter buttons) for obtaining flow field parameters (e.g., a sector number, an atmospheric stability, a grid resolution, and other flow field parameters). The user can operate the third input controls. For example, the sector number button in the flow field parameter function area can be triggered to input the sector number in the popped-up sector number editing interface (not shown in the figure) to obtain the sector number. The atmospheric stability button in the flow field parameter function area can also be triggered to input the atmospheric stability in the popped-up atmospheric stability editing interface (not shown in the figure) to obtain the atmospheric stability. The grid resolution button in the flow field parameter function area can also be triggered to input the grid resolution in the popped-up grid resolution editing interface (not shown in the figure) to obtain the grid resolution.

[0158] It can be understood that the flow field parameters, such as the sector number, the atmospheric stability, and the grid resolution, can be numerical values that can be self-adjusted and set, or can be flow field parameters obtained by selecting a default setting on the popped-up sector number editing interface.

[0159] S502: In response to receiving operation signals for the first input controls, the second input controls, and the third input controls respectively, obtaining the observation point position, radar data of the observation point, and flow field parameters, wherein the radar data includes wind speed data of the observation point collected by the laser radar and wind height corresponding to the observation point.

[0160] In response to the operation signal of the user on the first input control, the second input control, and the third input control, the terminal device acquires the observation point position, the radar data of the observation point, and the flow field parameter. The operation signal can be a trigger operation, a selection operation, an upload operation, and an input operation of the user. In addition, the radar data includes wind speed data of the observation point collected by the laser radar and a wind measurement height corresponding to the observation point. Details of the related technology can be referred to S301, which will not be described here.

[0161] S503: In response to receiving the wind speed correction request, the terminal device sends the observation point position, the radar data of the observation point, and the flow field parameter to the server. The server is configured to acquire terrain data corresponding to the observation point position according to the observation point position, perform flow field calculation according to the observation point position to obtain flow field data of the observation point, and input the radar data of the observation point, the flow field data of the observation point, and the terrain data corresponding to the observation point position into a wind speed correction model to obtain corrected wind speed data, and send the corrected wind speed data to the terminal device.

[0162] In response to receiving the wind speed correction request, the terminal device sends the observation point position, the radar data of the observation point, and the flow field parameter to the server. As an optional example, the wind speed correction request can be generated by the user and the terminal device interacting with each other by triggering the wind speed correction button.

[0163] In response to receiving the wind speed correction request, the terminal device sends the observation point position to the server. The server extracts terrain data within a certain radius range centered on the observation point position from the saved terrain data, and takes the terrain data as the terrain data corresponding to the observation point position. The terrain data corresponding to the observation point position is used for radar wind speed correction.

[0164] In one or more embodiments, in response to receiving the wind speed correction request, the terminal device sends the observation point position and the flow field parameter to the server. The server performs flow field calculation on the observation point position and the flow field parameter to obtain flow field data of the observation point. The calculated flow field data of the observation point is used for radar wind speed correction.

[0165] After the server obtains the radar data of the observation point, the flow field data of the observation point, and the terrain data corresponding to the observation point position, the server inputs these data into a wind speed correction model to obtain corrected wind speed data. After obtaining the corrected wind speed data, the server sends the corrected wind speed data to the terminal device.

[0166] In one or more embodiments, as Figure 6As shown, each model structure button (such as the default model button, the RNN model button, and other model buttons) in the model structure type function area is a fourth input control for obtaining the model structure type (such as the default model, the RNN model, and other models) of the wind speed correction model. The user can operate the fourth input control, for example, a selection operation of the model structure type. For example, a certain model structure type is selected on the data input interface of the terminal device to obtain the model structure type of the wind speed correction model. Based on this, in response to receiving the wind speed correction request, the terminal device also sends the model structure type of the wind speed correction model to the server, so that the server uses the wind speed correction model corresponding to the model structure type to correct the wind speed of the lidar, and obtains the corrected wind speed data.

[0167] S504: Receive the corrected wind speed data sent by the server.

[0168] After the server obtains the corrected wind speed data, the server sends the corrected wind speed data to the terminal device. The terminal device receives the corrected wind speed data sent by the server.

[0169] S505: Display the result display interface, and the result display interface is used to display the corrected wind speed data.

[0170] The interaction interface on the target application further includes a result display interface. After receiving the corrected wind speed data, the result display interface of the terminal device displays the corrected wind speed data.

[0171] In one or more embodiments, the result display interface is further used to display the time period of the wind speed correction.

[0172] Based on the content of S501-S505, the embodiment of the application provides a laser radar wind speed correction method for a terminal device. The terminal device displays a data input interface of a target application. The data input interface comprises a first input control for inputting an observation point position, a second input control for inputting radar data of the observation point, and a third input control for inputing flow field parameters. In response to operation signals received for the first input control, the second input control, and the third input control respectively, the terminal device acquires the observation point position, the radar data of the observation point, and the flow field parameters. The radar data comprises wind speed data of the observation point collected by the laser radar and a wind measurement height corresponding to the observation point. In response to a received wind speed correction request, the terminal device sends the observation point position, the radar data of the observation point, and the flow field parameters to a server. After receiving the data, the server acquires radar data of the observation point, flow field data of the observation point, and terrain data corresponding to the observation point position according to the data. The acquired data is input into a wind speed correction model to obtain corrected wind speed data, and the corrected wind speed data is sent to the terminal device. After receiving the corrected wind speed data, the terminal device displays the corrected wind speed data on a result display interface. In this way, considering the terrain features where the laser radar is located, the terrain data, the radar data, and the flow field data are combined to correct the wind speed measured by the laser radar through the wind speed correction model, so that the accuracy of the wind speed measured by the laser radar can be improved. Moreover, the corrected wind speed data can be obtained through the interaction between the user and the terminal device, so that the process of obtaining the corrected wind speed data is simple and the operation efficiency is improved.

[0173] In a possible implementation, before receiving the corrected wind speed data sent by the server, the terminal device further displays a waiting interface. The waiting interface is used to display a correction progress of the server, so that the user can view and understand the correction progress of the wind speed data. Figure 7 , Figure 7 A waiting interface schematic diagram provided by the embodiment of the application is shown in FIG. 6. Figure 7 As shown in FIG. 6, the terminal device further comprises a waiting interface. The correction progress of the wind speed data can be displayed on the waiting interface through a wind speed data correction progress bar.

[0174] Referring to Figure 8 , Figure 8 Another waiting interface schematic diagram provided by the embodiment of the application is shown in FIG. 7. Figure 8 The waiting interface shown in FIG. 7 is used to display a calculation progress of the flow field data of the observation point, so that the user can know the calculation progress of the flow field data in real time.

[0175] As an optional example, after the correction of the wind speed data is completed, the correction progress bar displays completion. At this time, the user can trigger the wind speed data correction result display interface through the wind speed data correction result display interface. Figure 7The displayed download result button (for example, clicking the download result button on the user interface) generates a result download request, and the terminal device provides the download of the corrected wind speed data in response to the result download request.

[0176] In a possible implementation, the corrected wind speed data can be displayed on the terminal device after the corrected wind speed data is downloaded, or before the corrected wind speed data is downloaded after the wind speed data correction is completed. Referring to Figure 9 , Figure 9 A display interface of the corrected wind speed data provided by the embodiments of the present application is shown. As Figure 9 shown, the terminal device further includes a display interface, and after the corrected wind speed data is obtained, the corrected wind speed data can be displayed on the display interface of the terminal device for the user to view the corrected wind speed data.

[0177] Those skilled in the art can understand that Figure 6-9 The schematic diagram of the user interface shown is only an example in which the embodiments of the present application can be implemented. The scope of application of the embodiments of the present application is not limited by any aspect of the schematic diagram.

[0178] Based on the laser radar wind speed correction method provided by the above method embodiment, the embodiments of the present application further provide a laser radar wind speed correction device, which will be described below in combination with the drawings.

[0179] Referring to Figure 10 shown, the figure is a structural schematic diagram of the laser radar wind speed correction device provided by the embodiments of the present application, and the laser radar wind speed correction device is applied to a server. As Figure 10 shown, the laser radar wind speed correction device includes:

[0180] The first receiving unit 1001 is configured to receive the observation point position, the radar data of the observation point, and the flow field parameter sent by the terminal device, wherein the radar data includes the wind speed data of the observation point collected by the laser radar and the corresponding wind measurement height of the observation point.

[0181] The first obtaining unit 1002 is configured to obtain the terrain data corresponding to the observation point position and the flow field data of the observation point according to the position of the observation point.

[0182] The second obtaining unit 1003 is configured to input the radar data of the observation point, the flow field data of the observation point, and the terrain data corresponding to the observation point position into a wind speed correction model to obtain corrected wind speed data, wherein the wind speed correction model is used to represent a corresponding relationship between a target data set and standard wind speed data of the observation point collected by a wind measurement tower, and the target data set includes the radar data of the observation point, the flow field data of the observation point, and the terrain data corresponding to the observation point.

[0183] The sending unit 1004 is configured to send the corrected wind speed data to the terminal device, so that the terminal device displays the corrected wind speed data.

[0184] In a possible implementation, the first receiving unit 1001 is specifically configured to:

[0185] receive radar longitude coordinates and latitude coordinates sent by the terminal device as observation point positions, and receive radar data and flow field parameters sent by the terminal device.

[0186] In a possible implementation, the flow field parameters include one or more of a sector number, atmospheric stability, and resolution.

[0187] In a possible implementation, the radar data further includes meteorological information.

[0188] In a possible implementation, the apparatus further includes:

[0189] The second receiving unit is configured to receive a model structure type sent by the terminal device.

[0190] The second obtaining unit 1003 is specifically configured to:

[0191] input the radar data of the observation point, the flow field data of the observation point, and the terrain data corresponding to the observation point position into a wind speed correction model corresponding to the model structure type to obtain corrected wind speed data.

[0192] Based on the another laser radar wind speed correction method provided in the above method embodiment, the present embodiment further provides another laser radar wind speed correction apparatus, which will be described below with reference to the accompanying drawings.

[0193] Referring to FIG. 1, Figure 11 As shown in the figure, the figure is a structural schematic diagram of another laser radar wind speed correction apparatus provided in the present embodiment, and the laser radar wind speed correction apparatus is applied in a terminal device. As shown in the figure, Figure 11 As shown in the figure, the laser radar wind speed correction apparatus includes:

[0194] The first display unit 1101 is configured to display a data input interface of a target application, the data input interface comprising an input control, the data input control comprising a first input control for inputting a position of an observation point, a second input control for inputting radar data of the observation point, and a third input control for inputting a flow field parameter;

[0195] The acquisition unit 1102 is configured to acquire the position of the observation point, the radar data of the observation point, and the flow field parameter in response to receiving operation signals for the first input control, the second input control, and the third input control, respectively, wherein the radar data comprises wind speed data of the observation point collected by a laser radar and a wind measurement height corresponding to the observation point.

[0196] The sending unit 1103 is configured to send the position of the observation point, the radar data of the observation point, and the flow field parameter to a server in response to receiving a wind speed correction request, the server being configured to acquire terrain data corresponding to the position of the observation point according to the position of the observation point, perform flow field calculation according to the position of the observation point to obtain flow field data of the observation point, and input the radar data of the observation point, the flow field data of the observation point, and the terrain data corresponding to the position of the observation point into a wind speed correction model to obtain corrected wind speed data, and send the corrected wind speed data to the terminal device.

[0197] The receiving unit 1104 is configured to receive the corrected wind speed data sent by the server.

[0198] The second display unit 1105 is configured to display a result display interface, the result display interface being configured to display the corrected wind speed data.

[0199] In a possible implementation, the apparatus further comprises:

[0200] The providing unit is configured to provide downloading of the corrected wind speed data in response to a result downloading request.

[0201] In a possible implementation, the apparatus further comprises:

[0202] The third display unit is configured to display a waiting interface before receiving the corrected wind speed data sent by the server, the waiting interface being configured to display a correction progress of the server.

[0203] In a possible implementation, the waiting interface is further configured to display a calculation progress of flow field data of the observation point.

[0204] In a possible implementation, the result display interface is further configured to display a time period for performing wind speed correction.

[0205] Referring toFigure 12 Figure 12 A schematic diagram of an electronic device according to an example embodiment of the present disclosure is shown.

[0206] Referring to Figure 12 According to an example embodiment of the present disclosure, an electronic device includes a memory 121 and a processor 122, the memory 121 has stored thereon a computer program which, when executed by the processor 122, implements a laser radar wind speed correction method according to an example embodiment of the present disclosure, or another laser radar wind speed correction method. In addition, the present application embodiment also provides a computer readable storage medium having a computer program stored thereon, when the computer program is executed by the processor, a laser radar wind speed correction method according to any one of the above, or another laser radar wind speed correction method as described above.

[0207] In addition, the present application embodiment also provides a computer program product, the computer program product includes a computer program, the computer program is stored in a readable storage medium, at least one processor of the device reads and executes the computer program from the storage medium, so that the device executes a laser radar wind speed correction method according to any one of the above, or another laser radar wind speed correction method as described above.

[0208] It should be noted that the embodiments in the specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same and similar parts of each embodiment can be referred to each other. For the system or device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant part can be referred to the method part.

[0209] It should be understood that in the present application, "at least one" means one or more, and "multiple" means two or more. "And / or" is used to describe the association relationship of the associated objects, which means that there can be three kinds of relationships, for example, "A and / or B" can represent three cases of only A, only B and A and B existing at the same time, and A and B can be singular or plural. The character " / " generally represents that the associated objects before and after are in an "or" relationship. "At least one of the following" or similar expressions means any combination of these items, including any combination of single item or multiple items. For example, at least one of a, b or c can represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.

[0210] ​It is also to be noted that, as used in the specification and the appended claims, the singular forms "a," "an" and "the" include plural referents unless otherwise indicated. Furthermore, to the extent that the terms "including," "includes," "having," "has," "with," or "contains" are used in either the detailed description and the claims, such terms are intended to be inclusive in a manner similar to the term "comprising" as an open transition term without precluding any additional or other elements.

[0211] The embodiments disclosed herein can each be implemented as a method, apparatus, or article of manufacture using programming instructions. The embodiments disclosed herein can be implemented using software, firmware, hardware, or a combination thereof. The embodiments disclosed herein can be implemented in a computer system that includes one or more processors that are configured with instructions that, once implemented in hardware, cause the computer system to carry out the steps described herein. The instructions can be stored on a computer readable medium, such as a floppy disk, a hard disk, a CD-ROM, a DVD, a memory, a solid state drive, or a magnetic tape. The instructions can also be downloaded from the Internet. The instructions can be implemented in a plurality of programming languages.

[0212] The above description of disclosed embodiments provides enough information to enable those with ordinary skill in the art to make and use the application. Various modifications to these embodiments will be readily apparent to those with ordinary skill in the art, and the generic principles defined herein can be applied to other embodiments without departing from the spirit or scope of the application. Accordingly, the application is not to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for correcting wind speed using a lidar system, characterized in that, Applied to a server, the method includes: The terminal device receives the location of the observation point, the radar data of the observation point, and the flow field parameters. The radar data includes the wind speed data of the observation point collected by lidar and the wind measurement height corresponding to the observation point. Based on the location of the observation point, obtain the terrain data corresponding to the location of the observation point and the flow field data of the observation point; The radar data, flow field data, and terrain data corresponding to the location of the observation point are input into the wind speed correction model to obtain the corrected wind speed data. The wind speed correction model is used to characterize the correspondence between the target data set and the standard wind speed data of the observation point collected by the wind tower. The target data set includes the radar data, flow field data, and terrain data corresponding to the observation point. The corrected wind speed data is sent to the terminal device so that the terminal device can display the corrected wind speed data.

2. The method according to claim 1, characterized in that, The observation point location, radar data, and flow field parameters sent by the receiving terminal device include: The system receives radar longitude and latitude coordinates sent by the terminal device as the location of the observation point, and also receives radar data and flow field parameters sent by the terminal device.

3. The method according to claim 1, characterized in that, The flow field parameters include one or more of the number of sectors, atmospheric stability, and resolution.

4. The method according to claim 1, characterized in that, The radar data also includes meteorological information.

5. The method according to claim 1 or 4, characterized in that, The method further includes: The model structure type sent by the receiving terminal device; The step of inputting radar data from the observation point, flow field data from the observation point, and terrain data corresponding to the location of the observation point into the wind speed correction model to obtain corrected wind speed data includes: The radar data, flow field data, and terrain data corresponding to the location of the observation point are input into the wind speed correction model corresponding to the model structure type to obtain the corrected wind speed data.

6. A method for correcting wind speed using a lidar system, characterized in that, When applied in a terminal device, the method includes: The data input interface of the target application is displayed. The data input interface includes input controls, including a first input control for inputting the location of the observation point, a second input control for inputting the radar data of the observation point, and a third input control for inputting the flow field parameters. In response to receiving operation signals for the first input control, the second input control, and the third input control respectively, the location of the observation point, the radar data of the observation point, and the flow field parameters are acquired, wherein the radar data includes wind speed data of the observation point collected by lidar and the wind measurement height corresponding to the observation point; In response to receiving a wind speed correction request, the server sends the location of the observation point, the radar data of the observation point, and the flow field parameters to the server. The server is used to obtain the terrain data corresponding to the location of the observation point, perform flow field calculation based on the location of the observation point to obtain the flow field data of the observation point, and input the radar data of the observation point, the flow field data of the observation point, and the terrain data corresponding to the location of the observation point into the wind speed correction model to obtain the corrected wind speed data, and send the corrected wind speed data to the terminal device. Receive the corrected wind speed data sent by the server; The result display interface is used to display the corrected wind speed data.

7. The method according to claim 6, characterized in that, The method further includes: In response to the result download request, the corrected wind speed data is provided for download.

8. The method according to claim 6, characterized in that, The method further includes: Before receiving the corrected wind speed data sent by the server, a waiting interface is displayed, which is used to show the server's correction progress.

9. The method according to claim 8, characterized in that, The waiting interface is also used to display the calculation progress of the flow field data at the observation point.

10. The method according to claim 6, characterized in that, The results display interface is also used to show the time period during which wind speed correction was performed.

11. A lidar wind speed correction device, characterized in that, Applied to a server, the device includes: The first receiving unit is used to receive the location of the observation point, the radar data of the observation point, and the flow field parameters sent by the terminal device. The radar data includes the wind speed data of the observation point collected by the lidar and the wind measurement height corresponding to the observation point. The first acquisition unit is used to acquire terrain data corresponding to the location of the observation point and flow field data of the observation point according to the location of the observation point; The second acquisition unit is used to input the radar data of the observation point, the flow field data of the observation point, and the terrain data corresponding to the location of the observation point into the wind speed correction model to obtain the corrected wind speed data. The wind speed correction model is used to characterize the correspondence between the target data set and the standard wind speed data of the observation point collected by the wind tower. The target data set includes the radar data of the observation point, the flow field data of the observation point, and the terrain data corresponding to the observation point. A sending unit is used to send the corrected wind speed data to the terminal device so that the terminal device can display the corrected wind speed data.

12. A device for correcting wind speed using a lidar system, characterized in that, The device, used in terminal equipment, includes: The first display unit is used to display the data input interface of the target application. The data input interface includes input controls, which include a first input control for inputting the location of the observation point, a second input control for inputting the radar data of the observation point, and a third input control for inputting the flow field parameters. The acquisition unit is configured to, in response to receiving operation signals for the first input control, the second input control, and the third input control respectively, acquire the location of the observation point, the radar data of the observation point, and the flow field parameters, wherein the radar data includes wind speed data of the observation point collected by lidar and the wind measurement height corresponding to the observation point; The sending unit is configured to, in response to receiving a wind speed correction request, send the location of the observation point, the radar data of the observation point, and the flow field parameters to the server. The server is configured to obtain the terrain data corresponding to the location of the observation point, perform flow field calculation based on the location of the observation point to obtain the flow field data of the observation point, input the radar data of the observation point, the flow field data of the observation point, and the terrain data corresponding to the location of the observation point into the wind speed correction model to obtain the corrected wind speed data, and send the corrected wind speed data to the terminal device. A receiving unit is used to receive the corrected wind speed data sent by the server; The second display unit is used to display the result display interface, which is used to display the corrected wind speed data.

13. An electronic device, characterized in that, The electronic device includes: At least one processor; At least one memory stores a computer program that, when executed by the at least one processor, implements the lidar wind speed correction method as described in any one of claims 1-5, or the lidar wind speed correction method as described in any one of claims 6-10.

14. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the lidar wind speed correction method as described in any one of claims 1-5, or the lidar wind speed correction method as described in any one of claims 6-10.

15. A computer program product, characterized in that, The computer program product includes a computer program stored in a readable storage medium, and at least one processor of the device reads from the storage medium and executes the computer program, causing the device to perform the lidar wind speed correction method as described in any one of claims 1-5, or the lidar wind speed correction method as described in any one of claims 6-10.

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